Fundamentals Of Information Theory And Coding Design
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Author |
: Roberto Togneri |
Publisher |
: CRC Press |
Total Pages |
: 385 |
Release |
: 2003-01-13 |
ISBN-10 |
: 9780203998106 |
ISBN-13 |
: 0203998103 |
Rating |
: 4/5 (06 Downloads) |
Synopsis Fundamentals of Information Theory and Coding Design by : Roberto Togneri
Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction. Even fewer build the essential theoretical framework when presenting algorithms and implementation details of modern coding systems. Without abandoning the theoret
Author |
: Steven Roman |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 344 |
Release |
: 1996-11-26 |
ISBN-10 |
: 0387947043 |
ISBN-13 |
: 9780387947044 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Introduction to Coding and Information Theory by : Steven Roman
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.
Author |
: Monica Borda |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 504 |
Release |
: 2011-05-27 |
ISBN-10 |
: 9783642203473 |
ISBN-13 |
: 3642203477 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Fundamentals in Information Theory and Coding by : Monica Borda
The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding.
Author |
: Aleksandr I?Akovlevich Khinchin |
Publisher |
: Courier Corporation |
Total Pages |
: 130 |
Release |
: 1957-01-01 |
ISBN-10 |
: 9780486604343 |
ISBN-13 |
: 0486604349 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Mathematical Foundations of Information Theory by : Aleksandr I?Akovlevich Khinchin
First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.
Author |
: R. J. McEliece |
Publisher |
: Cambridge University Press |
Total Pages |
: 414 |
Release |
: 2004-07-15 |
ISBN-10 |
: 0521831857 |
ISBN-13 |
: 9780521831857 |
Rating |
: 4/5 (57 Downloads) |
Synopsis The Theory of Information and Coding by : R. J. McEliece
Student edition of the classic text in information and coding theory
Author |
: Nicola Roberts |
Publisher |
: |
Total Pages |
: |
Release |
: 2018 |
ISBN-10 |
: 168469454X |
ISBN-13 |
: 9781684694549 |
Rating |
: 4/5 (4X Downloads) |
Synopsis Fundamentals of Information Theory and Coding Design by : Nicola Roberts
Author |
: Thomas M. Cover |
Publisher |
: John Wiley & Sons |
Total Pages |
: 788 |
Release |
: 2012-11-28 |
ISBN-10 |
: 9781118585771 |
ISBN-13 |
: 1118585771 |
Rating |
: 4/5 (71 Downloads) |
Synopsis Elements of Information Theory by : Thomas M. Cover
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
Author |
: David J. C. MacKay |
Publisher |
: Cambridge University Press |
Total Pages |
: 694 |
Release |
: 2003-09-25 |
ISBN-10 |
: 0521642981 |
ISBN-13 |
: 9780521642989 |
Rating |
: 4/5 (81 Downloads) |
Synopsis Information Theory, Inference and Learning Algorithms by : David J. C. MacKay
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Author |
: Wells |
Publisher |
: Pearson Education India |
Total Pages |
: 324 |
Release |
: |
ISBN-10 |
: 8131724166 |
ISBN-13 |
: 9788131724163 |
Rating |
: 4/5 (66 Downloads) |
Synopsis Applied Coding and Information Theory for Engineers by : Wells
Author |
: Steven Roman |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 520 |
Release |
: 1992-06-04 |
ISBN-10 |
: 0387978127 |
ISBN-13 |
: 9780387978123 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Coding and Information Theory by : Steven Roman
This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.